一种基于排序统计理论的快速图像中值滤波法  

Fast image median filtering method based on statistical theory

作　　者：牛敏[1] 邬战军[1] 牛燕雄[1] 杨露[1] 许冰[1] 耿天琪[1] 

机构地区：[1]北京航空航天大学仪器科学与光电工程学院,北京100191

出　　处：《电子测量技术》2015年第6期60-63,共4页Electronic Measurement Technology

摘　　要：中值滤波抑制干扰脉冲和点状噪声的同时,对图像边缘能较好的保持,在很多图像处理领域都起到了重要作用。运动目标识别技术对图像预处理实时性要求越来越高,为了提高预处理速度,以中值滤波原理为基础,对滤波排序算法和实现方案进行了研究,提出了一种基于排序统计理论的快速图像中值滤波方法,实现实时滤波。研究结果表明:该方法在硬件系统上对传统中值滤波排序算法进行的改进,使得3×3窗口中二维的9个像素取中值简化为一维的5个像素取中值,单窗口查找中值的比较次数由传统排序法的36次降到了16次,再结合FPGA的并行处理能力和流水线结构,滤波速度提高为原来的近4倍,可以满足图像预处理对实时性的要求。The median filter not only suppresses interference pulse and punctiform noise ,but also keeps the image details better ,therefore it plays an important role in many image processing .Moving object recognition technology needs higher and higher real-time quality in image preprocessing .In order to improve the preprocessing speed ,we study the filtering algorithm and implementation scheme based on the median filter principle .And a fast image median filtering method based on the order statistics theory is proposed to realize real-time filtering .The results show that this method is the improvement of traditional median filtering sorting algorithm on hardware system ,making 9 pixels of 2 dimension reduce to 5 pixels of 1 dimension to find the median in window 3× 3 .The comparing times ,finding the median in single window ,change from traditional sort of 36 times down to 16 times .Combined with the FPGA parallel processing ability and pipeline structure ,filtering speed increases by almost four times ,so as to satisfy the real-time image preprocessing .

关 键 词：图像预处理 中值滤波 FPGA 运动目标识别 

分 类 号：TP391[自动化与计算机技术—计算机应用技术]